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Data Requirements for Electronic Surveillance of Healthcare-Associated Infections

Published online by Cambridge University Press:  10 May 2016

Keith F. Woeltje ,
Michael Y. Lin ,
Michael Klompas ,
Marc Oliver Wright ,
Gianna Zuccotti  and
William E. Trick
Keith F. Woeltje*
Affiliation:
Center for Clinical Excellence, BJC HealthCare, and Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
Michael Y. Lin
Affiliation:
Department of Medicine, Rush University Medical Center, Chicago, Illinois
Michael Klompas
Affiliation:
Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
Marc Oliver Wright
Affiliation:
Departments of Quality and Infection Control, NorthShore University HealthSystem, Evanston, Illinois
Gianna Zuccotti
Affiliation:
Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts Partners eCare, Partners HealthCare, Boston, Massachusetts
William E. Trick
Affiliation:
Department of Medicine, Cook County Health and Hospitals System, Chicago, Illinois
*
Infectious Diseases Division, Washington University School of Medicine, Campus Box 8051, 660 South Euclid Avenue, St. Louis, MO 63110 ([email protected]).
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Extract

Electronic surveillance for healthcare-associated infections (HAIs) is increasingly widespread. This is driven by multiple factors: a greater burden on hospitals to provide surveillance data to state and national agencies, financial pressures to be more efficient with HAI surveillance, the desire for more objective comparisons between healthcare facilities, and the increasing amount of patient data available electronically. Optimal implementation of electronic surveillance requires that specific information be available to the surveillance systems. This white paper reviews different approaches to electronic surveillance, discusses the specific data elements required for performing surveillance, and considers important issues of data validation.

Infect Control Hosp Epidemiol 2014;35(9):1083-1091

Type
SHEA White Paper
Information
Infection Control & Hospital Epidemiology , Volume 35 , Issue 9 , 01 September 2014 , pp. 1083 - 1091
Copyright
© 2014 by The Society for Healthcare Epidemiology of America. All rights reserved.

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